Capture_Image.py

import csv
import re
import cv2
import os
#from main_gui import tkEmail, tkID, tkName


# counting the numbers


def is_number(s):
    try:
        float(s)
        return True
    except ValueError:
        pass

    try:
        import unicodedata
        unicodedata.numeric(s)
        return True
    except (TypeError, ValueError):
        pass

    return False



# Take image function

def takeImages(Id,name,email):


    #Id = str(tkID)
    #name = str(tkName)
    #email = str(tkEmail)
    print(Id,name,email)
    
    regex = '^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$'
    if(is_number(Id) and re.search(regex,email)):
        cam = cv2.VideoCapture(0)
        harcascadePath = "haarcascade_frontalface_default.xml"
        detector = cv2.CascadeClassifier(harcascadePath)
        sampleNum = 0

        while(True):
            ret, img = cam.read()
            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
            faces = detector.detectMultiScale(gray, 1.3, 5, minSize=(30,30),flags = cv2.CASCADE_SCALE_IMAGE)
            for(x,y,w,h) in faces:
                cv2.rectangle(img, (x, y), (x+w, y+h), (10, 159, 255), 2)
                #incrementing sample number
                sampleNum = sampleNum+1
                #saving the captured face in the dataset folder TrainingImage
                cv2.imwrite("TrainingImage" + os.sep +name + "."+Id + '.' +
                            str(sampleNum) + ".jpg", gray[y:y+h, x:x+w])
                #display the frame
                cv2.imshow('frame', img)
            #wait for 100 miliseconds
            if cv2.waitKey(100) & 0xFF == ord('q'):
                break
            # break if the sample number is more than 100
            elif sampleNum > 100:
                break
        cam.release()
        cv2.destroyAllWindows()
        temp=''.join(list(i for i in name.split()))
        res = "Images Saved for ID : " + Id + " Name : " + temp + "Email :" + email 
        row = [Id, name,email]
        with open("EmployeeDetails"+os.sep+"EmployeeDetails.csv", 'a+') as csvFile:
            writer = csv.writer(csvFile)
            writer.writerow(row)
        csvFile.close()
    else:
        if(isnumeric(Id)==False):
            print("Enter Alphabetical Name")
        
        else:
            print("Enter correct email address")